mirror of
https://github.com/shareAI-lab/analysis_claude_code.git
synced 2026-06-21 04:33:36 +08:00
* feat: s01-s14 docs quality overhaul — tool pipeline, single-agent, knowledge & resilience Rewrite code.py and README (zh/en/ja) for s01-s14, each chapter building incrementally on the previous. Key fixes across chapters: - s01-s04: agent loop, tool dispatch, permission pipeline, hooks - s05-s08: todo write, subagent, skill loading, context compact - s09-s11: memory system, system prompt assembly, error recovery - s12-s14: task graph, background tasks, cron scheduler All chapters CC source-verified. Code inherits fixes forward (PROMPT_SECTIONS, json.dumps cache, real-state context, can_start dep protection, etc.). * feat: s15-s19 docs quality overhaul — multi-agent platform: teams, protocols, autonomy, worktree, MCP tools Rewrite code.py and README (zh/en/ja) for s15-s19, the multi-agent platform chapters. Each chapter inherits all previous fixes and adds one mechanism: - s15: agent teams (TeamCreate, teammate threads, shared task list) - s16: team protocols (plan approval, shutdown handshake, consume_inbox) - s17: autonomous agents (idle polling, auto-claim, consume_lead_inbox) - s18: worktree isolation (git worktree, bind_task, cwd switching, safety) - s19: MCP tools (MCPClient, normalize_mcp_name, assemble_tool_pool, no cache) All appendix source code references verified against CC source. Config priority corrected: claude.ai < plugin < user < project < local. * fix: 5 regressions across s05-s19 — glob safety, todo validation, memory extraction, protocol types, dep crash - s05-s09: glob results now filter with is_relative_to(WORKDIR) (inherited from s02) - s06-s08: todo_write validates content/status required fields (inherited from s05) - s09: extract_memories uses pre-compression snapshot instead of compacted messages - s16: submit_plan docstring clarifies protocol-only (not code-level gate) - s17-s19: match_response restores type mismatch validation (from s16) - s17-s19: claim_task deps list handles missing dep files without crashing * fix: s12 Todo V2 logic reversal, s14/s15 cron range validation, s18/s19 worktree name validation - s12 README (zh/en/ja): fix Todo V2 direction — interactive defaults to Task, non-interactive/SDK defaults to TodoWrite. Fix env var name to CLAUDE_CODE_ENABLE_TASKS (not TODO_V2). - s14/s15: add _validate_cron_field with per-field range checks (minute 0-59, hour 0-23, dom 1-31, month 1-12, dow 0-6), step > 0, range lo <= hi. Replace old try/except validation that only caught exceptions. - s18/s19: add validate_worktree_name() to remove_worktree and keep_worktree, not just create_worktree. * fix: align s16-s19 teaching tool consistency * fix pr265 chapter diagrams * Add comprehensive s20 harness chapter * Fix chapter smoke test regressions * Clarify README tutorial track transition --------- Co-authored-by: Haoran <bill-billion@outlook.com>
This commit is contained in:
gui-yue
479
s13_background_tasks/code.py
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479
s13_background_tasks/code.py
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@@ -0,0 +1,479 @@
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#!/usr/bin/env python3
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"""
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s13: Background Tasks — thread-based async execution + notification injection.
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Run: python s13_background_tasks/code.py
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Need: pip install anthropic python-dotenv + .env with ANTHROPIC_API_KEY
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Changes from s12:
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- threading.Thread for background execution
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- background_tasks dict for lifecycle tracking (bg_id, command, status)
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- background_results dict + threading.Lock for thread-safe storage
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- should_run_background: model explicit request via run_in_background param
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- is_slow_operation: fallback heuristic when model doesn't specify
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- start_background_task: dispatch to daemon thread, return bg task id
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- collect_background_results: gather completed, return as notifications
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- agent_loop: slow ops → background + placeholder, inject notifications
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- Notifications use <task_notification> format, not reused tool_use_id
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Note: Teaching code keeps a basic agent loop to stay focused on background
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tasks. S11's full error recovery (RecoveryState, backoff, escalation,
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reactive compact, fallback model) is omitted.
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"""
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import os, subprocess, json, time, random, threading
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from pathlib import Path
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from dataclasses import dataclass, asdict
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try:
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import readline
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readline.parse_and_bind('set bind-tty-special-chars off')
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except ImportError:
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pass
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from anthropic import Anthropic
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from dotenv import load_dotenv
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load_dotenv(override=True)
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if os.getenv("ANTHROPIC_BASE_URL"):
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os.environ.pop("ANTHROPIC_AUTH_TOKEN", None)
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WORKDIR = Path.cwd()
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MEMORY_DIR = WORKDIR / ".memory"
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MEMORY_INDEX = MEMORY_DIR / "MEMORY.md"
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client = Anthropic(base_url=os.getenv("ANTHROPIC_BASE_URL"))
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MODEL = os.environ["MODEL_ID"]
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# ── Task System (from s12, synced) ──
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TASKS_DIR = WORKDIR / ".tasks"
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TASKS_DIR.mkdir(exist_ok=True)
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@dataclass
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class Task:
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id: str
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subject: str
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description: str
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status: str # pending | in_progress | completed
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owner: str | None
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blockedBy: list[str]
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def _task_path(task_id: str) -> Path:
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return TASKS_DIR / f"{task_id}.json"
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def create_task(subject: str, description: str = "",
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blockedBy: list[str] | None = None) -> Task:
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task = Task(
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id=f"task_{int(time.time())}_{random.randint(0, 9999):04d}",
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subject=subject, description=description,
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status="pending", owner=None,
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blockedBy=blockedBy or [],
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)
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save_task(task)
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return task
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def save_task(task: Task):
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_task_path(task.id).write_text(json.dumps(asdict(task), indent=2))
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def load_task(task_id: str) -> Task:
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return Task(**json.loads(_task_path(task_id).read_text()))
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def list_tasks() -> list[Task]:
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return [Task(**json.loads(p.read_text()))
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for p in sorted(TASKS_DIR.glob("task_*.json"))]
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def get_task(task_id: str) -> str:
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"""Return full task details as JSON."""
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task = load_task(task_id)
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return json.dumps(asdict(task), indent=2)
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def can_start(task_id: str) -> bool:
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"""Check if all blockedBy dependencies are completed.
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Missing dependencies are treated as blocked."""
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task = load_task(task_id)
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for dep_id in task.blockedBy:
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if not _task_path(dep_id).exists():
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return False
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if load_task(dep_id).status != "completed":
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return False
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return True
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def claim_task(task_id: str, owner: str = "agent") -> str:
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task = load_task(task_id)
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if task.status != "pending":
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return f"Task {task_id} is {task.status}, cannot claim"
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if not can_start(task_id):
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deps = [d for d in task.blockedBy
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if not _task_path(d).exists() or load_task(d).status != "completed"]
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return f"Blocked by: {deps}"
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task.owner = owner
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task.status = "in_progress"
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save_task(task)
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print(f" \033[36m[claim] {task.subject} → in_progress (owner: {owner})\033[0m")
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return f"Claimed {task.id} ({task.subject})"
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def complete_task(task_id: str) -> str:
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task = load_task(task_id)
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if task.status != "in_progress":
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return f"Task {task_id} is {task.status}, cannot complete"
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task.status = "completed"
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save_task(task)
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unblocked = [t.subject for t in list_tasks()
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if t.status == "pending" and t.blockedBy and can_start(t.id)]
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print(f" \033[32m[complete] {task.subject} ✓\033[0m")
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msg = f"Completed {task.id} ({task.subject})"
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if unblocked:
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msg += f"\nUnblocked: {', '.join(unblocked)}"
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print(f" \033[33m[unblocked] {', '.join(unblocked)}\033[0m")
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return msg
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# ── Prompt Assembly (from s10, synced) ──
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PROMPT_SECTIONS = {
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"identity": "You are a coding agent. Act, don't explain.",
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"tools": "Available tools: bash, read_file, write_file, "
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"create_task, list_tasks, get_task, claim_task, complete_task.",
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"workspace": f"Working directory: {WORKDIR}",
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"memory": "Relevant memories are injected below when available.",
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}
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def assemble_system_prompt(context: dict) -> str:
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sections = [PROMPT_SECTIONS["identity"],
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PROMPT_SECTIONS["tools"],
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PROMPT_SECTIONS["workspace"]]
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memories = context.get("memories", "")
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if memories:
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sections.append(f"Relevant memories:\n{memories}")
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return "\n\n".join(sections)
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_last_context_key, _last_prompt = None, None
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def get_system_prompt(context: dict) -> str:
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global _last_context_key, _last_prompt
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key = json.dumps(context, sort_keys=True, ensure_ascii=False, default=str)
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if key == _last_context_key and _last_prompt:
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return _last_prompt
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_last_context_key = key
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_last_prompt = assemble_system_prompt(context)
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return _last_prompt
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# ── Tools ──
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def safe_path(p: str) -> Path:
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path = (WORKDIR / p).resolve()
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if not path.is_relative_to(WORKDIR):
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raise ValueError(f"Path escapes workspace: {p}")
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return path
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def run_bash(command: str, run_in_background: bool = False) -> str:
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# run_in_background is handled by agent_loop dispatch, not here
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try:
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r = subprocess.run(command, shell=True, cwd=WORKDIR,
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capture_output=True, text=True, timeout=120)
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out = (r.stdout + r.stderr).strip()
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return out[:50000] if out else "(no output)"
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except subprocess.TimeoutExpired:
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return "Error: Timeout (120s)"
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def run_read(path: str, limit: int | None = None) -> str:
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try:
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lines = safe_path(path).read_text().splitlines()
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if limit and limit < len(lines):
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lines = lines[:limit] + [f"... ({len(lines) - limit} more lines)"]
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return "\n".join(lines)
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except Exception as e:
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return f"Error: {e}"
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def run_write(path: str, content: str) -> str:
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try:
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fp = safe_path(path)
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fp.parent.mkdir(parents=True, exist_ok=True)
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fp.write_text(content)
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return f"Wrote {len(content)} bytes to {path}"
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except Exception as e:
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return f"Error: {e}"
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# Task tools
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def run_create_task(subject: str, description: str = "",
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blockedBy: list[str] | None = None) -> str:
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task = create_task(subject, description, blockedBy)
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deps = f" (blockedBy: {', '.join(blockedBy)})" if blockedBy else ""
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print(f" \033[34m[create] {task.subject}{deps}\033[0m")
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return f"Created {task.id}: {task.subject}{deps}"
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def run_list_tasks() -> str:
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tasks = list_tasks()
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if not tasks:
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return "No tasks. Use create_task to add some."
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lines = []
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for t in tasks:
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icon = {"pending": "○", "in_progress": "●",
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"completed": "✓"}.get(t.status, "?")
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deps = f" (blockedBy: {', '.join(t.blockedBy)})" if t.blockedBy else ""
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owner = f" [{t.owner}]" if t.owner else ""
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lines.append(f" {icon} {t.id}: {t.subject} "
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f"[{t.status}]{owner}{deps}")
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return "\n".join(lines)
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def run_get_task(task_id: str) -> str:
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try:
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return get_task(task_id)
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except FileNotFoundError:
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return f"Error: Task {task_id} not found"
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def run_claim_task(task_id: str) -> str:
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return claim_task(task_id, owner="agent")
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def run_complete_task(task_id: str) -> str:
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return complete_task(task_id)
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TOOLS = [
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{"name": "bash", "description": "Run a shell command.",
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"input_schema": {"type": "object",
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"properties": {
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"command": {"type": "string"},
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"run_in_background": {"type": "boolean"}},
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"required": ["command"]}},
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{"name": "read_file", "description": "Read file contents.",
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"input_schema": {"type": "object",
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"properties": {"path": {"type": "string"},
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"limit": {"type": "integer"}},
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"required": ["path"]}},
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{"name": "write_file", "description": "Write content to a file.",
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"input_schema": {"type": "object",
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"properties": {"path": {"type": "string"},
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"content": {"type": "string"}},
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"required": ["path", "content"]}},
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{"name": "create_task",
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"description": "Create a new task with optional blockedBy dependencies.",
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"input_schema": {"type": "object",
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"properties": {
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"subject": {"type": "string"},
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"description": {"type": "string"},
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"blockedBy": {"type": "array",
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"items": {"type": "string"}}},
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"required": ["subject"]}},
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{"name": "list_tasks",
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"description": "List all tasks with status, owner, and dependencies.",
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"input_schema": {"type": "object", "properties": {},
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"required": []}},
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{"name": "get_task",
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"description": "Get full details of a specific task by ID.",
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"input_schema": {"type": "object",
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"properties": {"task_id": {"type": "string"}},
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"required": ["task_id"]}},
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{"name": "claim_task",
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"description": "Claim a pending task. Sets owner, changes status to in_progress.",
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"input_schema": {"type": "object",
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"properties": {"task_id": {"type": "string"}},
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"required": ["task_id"]}},
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{"name": "complete_task",
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"description": "Complete an in-progress task. Reports unblocked downstream tasks.",
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"input_schema": {"type": "object",
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"properties": {"task_id": {"type": "string"}},
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"required": ["task_id"]}},
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]
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TOOL_HANDLERS = {
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"bash": run_bash, "read_file": run_read, "write_file": run_write,
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"create_task": run_create_task, "list_tasks": run_list_tasks,
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"get_task": run_get_task, "claim_task": run_claim_task,
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"complete_task": run_complete_task,
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}
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# ── Background Tasks (s13 new) ──
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_bg_counter = 0
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background_tasks: dict[str, dict] = {} # bg_id → {tool_use_id, command, status}
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background_results: dict[str, str] = {} # bg_id → output
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background_lock = threading.Lock()
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def is_slow_operation(tool_name: str, tool_input: dict) -> bool:
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"""Fallback heuristic: commands likely to take > 30s."""
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if tool_name != "bash":
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return False
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cmd = tool_input.get("command", "").lower()
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slow_keywords = ["install", "build", "test", "deploy", "compile",
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"docker build", "pip install", "npm install",
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"cargo build", "pytest", "make"]
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return any(kw in cmd for kw in slow_keywords)
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def should_run_background(tool_name: str, tool_input: dict) -> bool:
|
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"""Model explicit request takes priority; fallback to heuristic."""
|
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if tool_input.get("run_in_background"):
|
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return True
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return is_slow_operation(tool_name, tool_input)
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|
||||
|
||||
def execute_tool(block) -> str:
|
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"""Execute a tool call block, return output."""
|
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handler = TOOL_HANDLERS.get(block.name)
|
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if handler:
|
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return handler(**block.input)
|
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return f"Unknown tool: {block.name}"
|
||||
|
||||
|
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def start_background_task(block) -> str:
|
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"""Run tool in a daemon thread. Returns background task ID."""
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global _bg_counter
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_bg_counter += 1
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bg_id = f"bg_{_bg_counter:04d}"
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cmd = block.input.get("command", block.name)
|
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|
||||
def worker():
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result = execute_tool(block)
|
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with background_lock:
|
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background_tasks[bg_id]["status"] = "completed"
|
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background_results[bg_id] = result
|
||||
|
||||
with background_lock:
|
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background_tasks[bg_id] = {
|
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"tool_use_id": block.id,
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"command": cmd,
|
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"status": "running",
|
||||
}
|
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thread = threading.Thread(target=worker, daemon=True)
|
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thread.start()
|
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print(f" \033[33m[background] dispatched {bg_id}: {cmd[:40]}\033[0m")
|
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return bg_id
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||||
|
||||
|
||||
def collect_background_results() -> list[str]:
|
||||
"""Collect completed background results as task_notification messages."""
|
||||
with background_lock:
|
||||
ready_ids = [bid for bid, task in background_tasks.items()
|
||||
if task["status"] == "completed"]
|
||||
notifications = []
|
||||
for bg_id in ready_ids:
|
||||
with background_lock:
|
||||
task = background_tasks.pop(bg_id)
|
||||
output = background_results.pop(bg_id, "")
|
||||
summary = output[:200] if len(output) > 200 else output
|
||||
notifications.append(
|
||||
f"<task_notification>\n"
|
||||
f" <task_id>{bg_id}</task_id>\n"
|
||||
f" <status>completed</status>\n"
|
||||
f" <command>{task['command']}</command>\n"
|
||||
f" <summary>{summary}</summary>\n"
|
||||
f"</task_notification>")
|
||||
print(f" \033[32m[background done] {bg_id}: "
|
||||
f"{task['command'][:40]} ({len(output)} chars)\033[0m")
|
||||
return notifications
|
||||
|
||||
|
||||
# ── Context ──
|
||||
|
||||
def update_context(context: dict, messages: list) -> dict:
|
||||
"""Derive context from real state."""
|
||||
memories = ""
|
||||
if MEMORY_INDEX.exists():
|
||||
content = MEMORY_INDEX.read_text().strip()
|
||||
if content:
|
||||
memories = content
|
||||
return {
|
||||
"enabled_tools": list(TOOL_HANDLERS.keys()),
|
||||
"workspace": str(WORKDIR),
|
||||
"memories": memories,
|
||||
}
|
||||
|
||||
|
||||
# ── Agent Loop (simplified, focused on background tasks) ──
|
||||
|
||||
def agent_loop(messages: list, context: dict):
|
||||
system = get_system_prompt(context)
|
||||
while True:
|
||||
try:
|
||||
response = client.messages.create(
|
||||
model=MODEL, system=system, messages=messages,
|
||||
tools=TOOLS, max_tokens=8000)
|
||||
except Exception as e:
|
||||
messages.append({"role": "assistant", "content": [
|
||||
{"type": "text",
|
||||
"text": f"[Error] {type(e).__name__}: {e}"}]})
|
||||
return
|
||||
|
||||
messages.append({"role": "assistant", "content": response.content})
|
||||
if response.stop_reason != "tool_use":
|
||||
return
|
||||
|
||||
results = []
|
||||
for block in response.content:
|
||||
if block.type != "tool_use":
|
||||
continue
|
||||
print(f"\033[36m> {block.name}\033[0m")
|
||||
|
||||
if should_run_background(block.name, block.input):
|
||||
bg_id = start_background_task(block)
|
||||
results.append({"type": "tool_result",
|
||||
"tool_use_id": block.id,
|
||||
"content": f"[Background task {bg_id} started] "
|
||||
f"Command: {block.input.get('command', '')}. "
|
||||
f"Result will be available when complete."})
|
||||
else:
|
||||
output = execute_tool(block)
|
||||
print(str(output)[:300])
|
||||
results.append({"type": "tool_result",
|
||||
"tool_use_id": block.id,
|
||||
"content": output})
|
||||
|
||||
# Inject background notifications + tool results in one user message
|
||||
user_content = []
|
||||
bg_notifications = collect_background_results()
|
||||
if bg_notifications:
|
||||
for notif in bg_notifications:
|
||||
user_content.append({"type": "text", "text": notif})
|
||||
print(f" \033[32m[inject] {len(bg_notifications)} background "
|
||||
f"notification(s)\033[0m")
|
||||
user_content.extend(results)
|
||||
messages.append({"role": "user", "content": user_content})
|
||||
context = update_context(context, messages)
|
||||
system = get_system_prompt(context)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
print("s13: background tasks")
|
||||
print("Enter a question, press Enter to send. Type q to quit.\n")
|
||||
history = []
|
||||
context = update_context({}, [])
|
||||
while True:
|
||||
try:
|
||||
query = input("\033[36ms13 >> \033[0m")
|
||||
except (EOFError, KeyboardInterrupt):
|
||||
break
|
||||
if query.strip().lower() in ("q", "exit", ""):
|
||||
break
|
||||
history.append({"role": "user", "content": query})
|
||||
agent_loop(history, context)
|
||||
context = update_context(context, history)
|
||||
for block in history[-1]["content"]:
|
||||
if getattr(block, "type", None) == "text":
|
||||
print(block.text)
|
||||
print()
|
||||
Reference in New Issue
Block a user